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Running
on
CPU Upgrade
[Feat] add fail category
#23
by
choco9966
- opened
- app.py +12 -0
- src/load_from_hub.py +4 -1
app.py
CHANGED
@@ -117,6 +117,7 @@ leaderboard_df = original_df.copy()
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finished_eval_queue_df,
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running_eval_queue_df,
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pending_eval_queue_df,
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) = get_evaluation_queue_df(eval_queue, eval_queue_private, EVAL_REQUESTS_PATH, EVAL_COLS)
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## INTERACTION FUNCTIONS
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@@ -513,6 +514,17 @@ with demo:
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datatype=EVAL_TYPES,
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max_rows=5,
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)
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with gr.Row():
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gr.Markdown("# โ๏ธโจ Submit your model here!", elem_classes="markdown-text")
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finished_eval_queue_df,
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running_eval_queue_df,
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pending_eval_queue_df,
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failed_eval_queue_df,
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) = get_evaluation_queue_df(eval_queue, eval_queue_private, EVAL_REQUESTS_PATH, EVAL_COLS)
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## INTERACTION FUNCTIONS
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datatype=EVAL_TYPES,
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max_rows=5,
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)
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with gr.Accordion(
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f"โ Failed Evaluations ({len(failed_eval_queue_df)})",
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open=False,
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):
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with gr.Row():
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pending_eval_table = gr.components.Dataframe(
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value=failed_eval_queue_df,
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headers=EVAL_COLS,
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datatype=EVAL_TYPES,
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max_rows=5,
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)
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with gr.Row():
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gr.Markdown("# โ๏ธโจ Submit your model here!", elem_classes="markdown-text")
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src/load_from_hub.py
CHANGED
@@ -123,10 +123,13 @@ def get_evaluation_queue_df(
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pending_list = [e for e in all_evals if e["status"] in ["PENDING", "RERUN"]]
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running_list = [e for e in all_evals if e["status"] == "RUNNING"]
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finished_list = [e for e in all_evals if e["status"].startswith("FINISHED") or e["status"] == "PENDING_NEW_EVAL"]
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df_pending = pd.DataFrame.from_records(pending_list, columns=cols)
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df_running = pd.DataFrame.from_records(running_list, columns=cols)
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df_finished = pd.DataFrame.from_records(finished_list, columns=cols)
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-
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def is_model_on_hub(model_name: str, revision: str) -> bool:
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pending_list = [e for e in all_evals if e["status"] in ["PENDING", "RERUN"]]
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running_list = [e for e in all_evals if e["status"] == "RUNNING"]
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finished_list = [e for e in all_evals if e["status"].startswith("FINISHED") or e["status"] == "PENDING_NEW_EVAL"]
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failed_list = [e for e in all_evals if e["status"] == "FAILED"]
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df_pending = pd.DataFrame.from_records(pending_list, columns=cols)
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df_running = pd.DataFrame.from_records(running_list, columns=cols)
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df_finished = pd.DataFrame.from_records(finished_list, columns=cols)
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df_failed = pd.DataFrame.from_records(failed_list, columns=cols)
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return df_finished[cols], df_running[cols], df_pending[cols], df_failed[cols]
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def is_model_on_hub(model_name: str, revision: str) -> bool:
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